Data Analysis project analyzing the characteristics of credit card borrowers. After the analysis, a classification model is built.
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Updated
Apr 15, 2020 - Jupyter Notebook
Data Analysis project analyzing the characteristics of credit card borrowers. After the analysis, a classification model is built.
I built and evaluated several machine-learning models to predict credit risk using free data from LendingClub. I employed different techniques for training and evaluating models with imbalanced classes and used the imbalanced-learn and Scikit-learn libraries to build and evaluate models.
Credit risk prediction using Azure AutoML along with interpretable explanations.
A collection of machine learning mini-projects.
Credit Risk Analysis using Machine Learning models
Credit risk analysis: based on the number of family dependents and the duration of the month's loan, classify the credit rating or risk rating using the decision tree method (C50 with R).
financial risk management projects
This project is an endeavor to analyze the Risk of Default in Loan Repayment, with the prime objective being to provide invaluable insights that could be leveraged by banks for credit assessment of potential borrowers.
Machine learning used to predict the loan risks and classify them as healthy loans or high-risk loans.
Loan Defaulter's Prediction using Statistical Analysis
This project follows the author's internship experience. Due to cost considerations, the project attempts to build an efficient tool for the Consumer Business department in order to easily and accurately assess the default risk of clients if offered a contract. Report included in repository.
TFM Comparativa de modelos de Machine Learning interpretables en riesgo crediticio
An analysis and prediction model for the Statlog (German Credit Data) dataset problem
Home Credit Default Risk project is to correctly offer loans to individuals who can pay back and turn away those who cannot
This is a course-work independent project I worked on in Fall 2021 MSc semester.
Credit risk analysis with R
The objective project is to decrease the company's losses by up to 30% through bad loans by creating a machine learning system to assist in automating loan assessments
Credit Risk Analysis using Python
As an intern Data Scientist at ID/X Partners, I'm involved involved in a project from a lending company to build a model that can predict credit risk using a dataset provided by the company which consists of data on loans accepted and rejected.
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